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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.22.dev0

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-03-14, 18:48 EDT based on data in: /Users/xiongx11/Desktop/code/WGS-Variant-Calling/aligned_reads

        General Statistics

        Showing 1/1 rows and 1/2 columns.
        Sample NameInsert Size
        SRR062634_sorted_dedup_bqsr_reads
        183bp

        Picard

        Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

        Alignment Summary

        Please note that Picard's read counts are divided by two for paired-end data. Total bases (including unaligned) is not provided.

        Created with MultiQC

        Mean read length

        The mean read length of the set of reads examined.

        Created with MultiQC

        Insert Size

        Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

        Created with MultiQC

        MultiQC v1.22.dev0 - Written by Phil Ewels, available on GitHub.

        This report uses Plotly, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.